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PwC

AI Productivity Lead

PwC

. Lead client-facing AI adoption and productivity initiatives within PwC's Advisory practice .

Posted 11/10/2026full-timeUnited StatesSenior💰 $99,000 - $232,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading AI adoption initiatives, integrating Microsoft 365 and Azure AI Services into productivity workflows, and coaching teams on prompt engineering and AI-human collaboration. Proven ability to measure adoption and business value through workforce analytics and benefits realization management.

Highest-signal resume keywords
AI Adoption LeadershipMicrosoft 365 IntegrationAzure AI Services DesignWorkforce Transformation ConsultingPrompt Engineering Coaching

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Generative AI SolutionsAnalytical ModelsData GovernanceAgent WorkflowsLLM EvaluationPythonM365 CopilotPower AppsPower AutomateData Modeling
Soft Skills
Client Relationship ManagementCoachingNavigating Difficult ConversationsTeam LeadershipUser Feedback Incorporation
Tools & Technologies
Azure AI ServicesGitHub CopilotLangChainLangGraphLearning Management SystemsSharePoint
Certifications & Qualifications
Bachelor's Degree
Industry Keywords
Organizational Change ManagementWorkforce TransformationAI ProductivityBenefits Realization ManagementWorkforce Analytics

Tech Stack

Tools & technologies
AzurePython

About the role

Key responsibilities & impact
  • Lead client-facing AI adoption and productivity initiatives within PwC's Advisory practice
  • Connect workforce transformation needs with practical generative AI solutions
  • Design AI solutions, analytical models, prompts, and AI-enabled tools
  • Shape Azure-based applications and workflows, including appropriate uses of GitHub Copilot
  • Lead engagement workstreams and own planning, budgets, timelines, and review of team deliverables
  • Coach junior colleagues and develop their skills while maintaining technical standards
  • Build client relationships, navigate unclear requirements, address difficult conversations, and identify opportunities aligned with client objectives
  • Lead workstreams connecting AI productivity goals with workforce analytics, HR technology needs, adoption plans, and measurable business value
  • Guide development of generative AI solutions using M365 Copilot, Azure AI Services, Python, LLM APIs, Microsoft Power Apps, and Power Automate
  • Design prompts, retrieval-augmented generation, vector database integration, and agent workflows with LangChain or LangGraph
  • Evaluate language model outputs, conversational experiences, and analytical models through testing, LLM guardrails, and LLMOps practices
  • Establish data modeling, metadata, governance, identity and access controls, data loss prevention, and SharePoint content management practices
  • Coordinate user training and learning management system content to build AI fluency and gather feedback
  • Manage project plans, budgets, and team assignments; coach colleagues and review technical work
  • Measure adoption and benefits realization through usage data, workforce metrics, and stakeholder feedback; refine solutions and present client recommendations

Requirements

What you’ll need
  • At least a Bachelor's degree
  • At least 5 years of experience in organizational change management or workforce transformation consulting
  • Preference for at least one of the following fields of study: Business Administration/Management, Computer Science/Information Systems
  • Experience leading M365 Copilot adoption initiatives through user and technical training for client teams
  • Experience integrating Microsoft 365, Power Apps, and Power Automate into AI-enabled productivity workflows
  • Experience designing agent orchestration and retrieval-augmented generation solutions using Azure AI Services and LLM APIs
  • Experience applying LLM evaluation, guardrails, and data governance during AI solution deployment
  • Experience coaching teams on prompt engineering and AI-human collaboration while incorporating user feedback
  • Experience measuring adoption and business value through workforce analytics and benefits realization management
  • Willingness to travel up to 80%
  • Must not require, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth in PwC's policy

Benefits

Comp & perks
  • Annual discretionary bonus
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • 401k
  • Holiday pay
  • Vacation
  • Personal and family sick leave